Why a major AI Revolution is coming, but it's not what you think -- AAAI 2020

You already know that Deep Learning is good at vision, translation, playing games, and other tasks. But Neural Networks don't "learn" the way humans do, instead it's just really good at fast pattern matching. Today's research mainly focuses on bigger models with larger datasets, bigger models, and complicated loss functions. But the next revolution is likely going to be more fundamental. Let's take a look at two approaches: adding logic with Stacked Capsule Auto Encoders and Self-Supervised Learning at scale. This about sums up what most AI scientists already know: Deep Learning is really good at doing narrow, pattern based tasks such as object or speech recognition.